关键词: 智能随访；2型糖尿病；青年；自我管理行为；潜在剖面分析

Abstract: Objective: To explore the potential categories and influencing factors of self-management behavior in young patients with Type 2 Diabetes Mellitus (T2DM) based on the intelligent follow-up platform, in order to refine the chronic disease management path of the platform. Methods: From August 2023 to August 2024, a total of 315 young patients with T2DM were investigated with Summary of Diabetes Self Care Activities scale, Self-Efficacy for Exercise Scale, and Generalized Anxiety Disorder scale in a tertiary grade A general hospital in Tianjin by using convenience sampling method. Latent profile analysis was used to establish a potential category model. Disordered multi-classification Logistic regression analysis was used to explore the influencing factors of potential category in T2DM patients. Results: The total score of self-management behavior of young patients with T2DM was 35.62±0.86, and the self-management behavior was divided into three potential categories: low-efficacy (35.2%), moderate-efficacy (30.8%) and high-efficacy (34.0%). Disordered multi-classification Logistic regression analysis showed that patients' gender, educational level, occupation, family income, blood glucose attainment, anxiety and exercise self-efficacy were influencing factors of self-management behavior. Conclusion: The self-management behavior of young patients with T2DM is at an intermediate level, with obvious classification characteristics. Multiple factors affect the level of self-management behavior of this group, suggesting that nursing managers should implement individualized education for this group based on the intelligent follow-up platform to improve the loyalty and stickability of this group to medical services, so as to further improve their self-management level.

Key words: intellectual follow-up; Type 2 Diabetes Mellitus; youth; self-management behavior; latent profile analysis